Can Artificial Intelligence Be Successful as an Anaesthesiology and Reanimation Resident?
ChatGPT exhibited a performance comparable to that of a resident in an exam centred on anaesthesiology and critical care. We suggest that by tailoring an AI model like ChatGPT in anaesthesiology and resuscitation, exam performance could be enhanced, paving the way for its development as a valuable tool in medical education.
Authors
- Jülide Ergil (ORCID: https://orcid.org/0000-0002-4580-7866)
- Savaş Altınsoy (ORCID: https://orcid.org/0000-0002-3588-7145)
- Yusuf Özgüner (ORCID: https://orcid.org/0000-0002-9629-0246)
- Gökçen Kültüroğlu (ORCID: https://orcid.org/0000-0003-3481-5518)
- Seyyid Furkan Kına (ORCID: https://orcid.org/0000-0002-2083-3339)
- Ela Erdem Hıdıroğlu (ORCID: https://orcid.org/0000-0003-3256-4604)
Institutions
- University of Health Science (KH)
- Sağlık Bilimleri Üniversitesi (TR)
- Türk Anesteziyoloji ve Reanimasyon Derneği (TR)
- University of Health Sciences Antigua (AG)
Publication Details
- Journal
- Türk anesteziyoloji ve reanimasyon derneği dergisi
- Published
- 2025-04-18
- DOI
- https://doi.org/10.4274/tjar.2025.251927
- Citations
- 2
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 4.51